Predicting post-hepatectomy liver failure in patients with hepatocellular carcinoma: nomograms based on deep learning analysis of gadoxetic acid-enhanced MRI.
| Publicado en: | European Radiology Vol. 35; no. 5; pp. 2769 - 2783 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184707051&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184707051 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2025 vid: 35 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 184707051 180793420 10.1007/s00330-024-11173-w 184707051 ppf: 2769 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Predicting post-hepatectomy liver failure in patients with hepatocellular carcinoma: nomograms based on deep learning analysis of gadoxetic acid-enhanced MRI. aug: au: Jeong, Boryeong Heo, Subin Lee, Seung Soo Kim, Seon-Ok Shin, Yong Moon Kim, Kang Mo Ha, Tae-Yong Jung, Dong-Hwan affil: https://ror.org/02c2f8975 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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